Top Machine Learning Jobs in Paris

Leads an international data science and AI team of up to eight members focused on commercial analytics and AI accelerators. Owns demand intake, prioritization, product strategy, model and data product delivery, and enterprise-scale ML/AI platform development. Partners with commercial, marketing, finance, and brand leaders to translate advanced analytics into business recommendations, revenue growth, and resource optimization. Requires executive communication, team-building, product management, and hands-on expertise in ML, LLMs, agentic workflows, cloud deployment, and pharma or healthcare analytics.

Lead product development for Datadog APM features, focusing on distributed tracing, performance analysis, and AI-driven troubleshooting. Work with engineers, designers, and customers to validate problems, deliver prototypes to production, define go-to-market, and measure adoption and impact.

As a Senior Applied Scientist, you will design machine learning solutions, develop scalable features, and analyze data within the Datadog app, collaborating with engineering and product teams.

As an AI Researcher at Datadog, you'll conduct cutting-edge research in AI, focusing on foundation models and AI agents for observability and reliability, collaborating with cross-functional teams, and contributing to scientific publications.

Lead product strategy and roadmap for AI and data security features—AI discovery, posture management, and data protection. Collaborate with engineering, design, security research, and GTM teams to define, build, and launch capabilities. Engage customers to validate solutions and drive adoption while translating security research into actionable product features.

The Strategic Sales Executive will sell Identity Governance Administration solutions to multinational organizations, engaging with senior decision-makers and navigating lengthy sales cycles.

The Senior AI Engineer will develop AI tools to enhance developer productivity at Datadog, focusing on LLM-based systems, prompts, and integration with existing products, while collaborating with various teams and users.

Leads Pfizer’s enterprise applied AI strategy, architecture, governance, operating model, and transformation efforts. Drives portfolio-level technical decisions, reusable capabilities, standards, and measurable business outcomes. Provides hands-on architecture and code review using modern AI and agent frameworks while leading engineers, contractors, and vendors. Oversees quality, security, performance, spending, and technical direction, mentors technical leaders, and evaluates emerging technologies and industry trends.

Own the full enterprise sales cycle for API and web app offerings: discovery, qualification with MEDDPICC, proposal, negotiation and close. Build and manage pipeline, collaborate with BDR/Marketing/Product/ML, track activity in HubSpot, contribute to sales playbooks, and travel to meet strategic accounts.

Six-month Operations internship supporting analysis, diagnostics, hypothesis-driven recommendations, and deliverable preparation across Engineering, Procurement, Manufacturing, Supply Chain and Digital Operations. Perform data analysis, develop recommendations, manage simple workstreams, interact with clients internationally, and build domain expertise. Potential conversion to a permanent role.

Develop and implement machine learning algorithms to analyze MRI data, collaborate with neuroscientists and clinicians to define requirements, evaluate and optimize decoding and foundation models for clinical use, and write scientific reports and publications.

Develop and implement machine learning and deep learning algorithms to analyze MRI data, collaborate with neuroscientists and clinicians to define model requirements, evaluate and optimize models for clinical applications, and write reports and scientific publications.

As a Machine Learning Engineer at Doctrine, you will develop NLP models and conversational agents to streamline legal information access and enhance product features.

Lead European and international research consortia, grants, and public-private partnerships for a TechBio company. Identify funding opportunities, build and negotiate multidisciplinary consortia, write and defend grant proposals, and manage funded projects, budgets, deliverables, and agency reporting. Serve as the link between AI and biology teams, external collaborators, and funding bodies while representing the company’s Virtual Tissue platform at global innovation and scientific events.

Develop, validate, deploy, and maintain machine learning and deep learning algorithms for EEG, cardiopulmonary, and other biosignal data used in medical devices and clinical applications. Responsibilities include data curation, model development, failure analysis, testing, documentation, regulatory-quality processes, production deployment, tooling improvements, stakeholder presentations, and client support.

Lead the development and delivery of electronic warfare and SIGINT systems from concept through field deployment. Responsibilities include managing a multidisciplinary EW engineering team, defining system architectures, coordinating mechanical, electrical, software, GNC, and ML teams, performing trade-off analyses and simulations, overseeing integration and validation, and maintaining requirements traceability, documentation, and testing consistency.

The role involves reinventing voice recognition technologies for real-world conversations, focusing on real-time speech processing techniques.

Develop and manage systematic trading strategies, optimize quantitative portfolios, and collaborate with quant traders and the investment committee.

The Senior Data & AI Strategist will lead data and AI transformation initiatives, advise clients, and ensure impactful strategy delivery, while mentoring team members.

The Director of Engineering for Mission Intelligence will manage engineering teams, oversee recruitment, develop standardized processes, and contribute to organizational strategy while remaining technically engaged with projects.

Design, implement, and validate automated manufacturing and test systems. Improve OEE and reliability, integrate automation with ERP/MES, build OEE dashboards and predictive maintenance, prototype robotics solutions, standardize architectures, and train technical staff.

Lead and scale Joko's end-to-end B2C growth engine (acquisition, activation, retention, reactivation). Own growth budget, LTV/CAC, measurement and incrementality, identify new growth loops, scale AI across growth operations, and build a high-performing Growth team while partnering with Product and Data for rapid execution.

As a PhD Investment & Strategy Associate, you'll conduct research and financial analysis focused on AI-driven technology companies, providing insights for investments while collaborating with a talented team to support strategic decision-making.

As a Senior Fullstack Engineer, you will develop a legal intelligence platform, focusing on user experience, reusable components, and ML integration while collaborating closely with product teams.

You will leverage your technical expertise and sales leadership to drive revenue growth, build partnerships, and represent technology to engineering companies, focusing on capturing new business opportunities in Europe.